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Welcome to my blog. The fine folks at the BeyeNETWORK™ have provided me with this forum to offer opinion and insight into the worlds of telcommunications (telecom) and business activity monitoring (BAM). But as with any blog, I am sure that we (yes we... since blogging is a "team sport"...) will explore other tangents that intersect the concepts of telecom and BAM.

In this world of "Crossfire" intellectual engagement (i.e. I yell louder therefore I win the argument), I will try to offer my opinion in a constructive manner. If I truly dislike a concept, I will do my best to offer an alternative as opposed to simply attempting to prove my point by disproving someone else's. I ask that people who post to this blog follow in my lead.

John Myers, a senior analyst in the business intelligence
(BI) practice at Enterprise Management Associates (EMA). In this role,
John delivers comprehensive coverage of the business intelligence and data
warehouse industry with a focus on database management, data integration, data
visualization, and process management solutions. Prior to joining EMA, John
spent over ten years working with business analytics implementations associated
with the telecommunications industry.

While many existing revenue streams can be augmented by “big data” business intelligence and data warehousing (BI/DW) environments; the analysis of “big data” also means that new sources of revenue and new business models can be implemented. This can come from:

Previous business models that were unattainable from past technologies

New business models that unimagined before the existence of “big data”

These new “big data” enabled business models require that both data acquisition and data analysis happen within the ability of an organization to capitalize on the opportunity.

Analytical database engines, like Kognitio, use massively parallel processing (MPP) processing to enable these “speed of business” capitalizations. Kognitio in particular uses the power of in-database processing and analysis to allow for the efficient loading of “big data” datasets into their WX2 platform. This allows for BI/DW professionals to avoid some of the ETL related, “big data” issues (ie if you can’t load it effectively, you cannot analyze it in a timely fashion).

Telecom Take

New revenue streams are going to be important for telecom organizations. Revenue pressures are coming from the declining per unit value of voice, and now data, products. Substitute usage of lower, or zero, value voice alternatives has been ongoing for years. Yet now, price pressures are starting to work their “magic” on data products. New providers and 3rd and 4th place carriers look to attract new customers and erode the pricing for Internet connectivity.

Being able to exploit new revenue streams provided by the analysis of the data resident in telecom networks will be one of the keys for telecom carrier operations in the short-term and long-term. BI/DW professional in telecoms will be pressed to provide the analytical environment to enable these business models.

Which new/non-traditional telecom business models are your telecom organization linking to existing network/customer data? Which are linked to external/non-telecom data?